import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
     from .tokenization_barthez import BarthezTokenizer
else:
     _SCREAMING_SNAKE_CASE 		=      None

_SCREAMING_SNAKE_CASE 		=      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE 		=      {"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

_SCREAMING_SNAKE_CASE 		=      {
    """vocab_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json"""
        ),
    },
}

_SCREAMING_SNAKE_CASE 		=      {
    """moussaKam/mbarthez""": 1_0_2_4,
    """moussaKam/barthez""": 1_0_2_4,
    """moussaKam/barthez-orangesum-title""": 1_0_2_4,
}

_SCREAMING_SNAKE_CASE 		=      """▁"""
class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):
   __lowerCAmelCase           =				VOCAB_FILES_NAMES
   __lowerCAmelCase           =				PRETRAINED_VOCAB_FILES_MAP
   __lowerCAmelCase           =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __lowerCAmelCase           =				["""input_ids""", """attention_mask"""]
   __lowerCAmelCase           =				BarthezTokenizer







   def __init__(     self						:						Tuple   ,   lowerCamelCase_						:						Tuple=None   ,   lowerCamelCase_						:						List[Any]=None   ,   lowerCamelCase_						:						Union[str, Any]="<s>"   ,   lowerCamelCase_						:						Union[str, Any]="</s>"   ,   lowerCamelCase_						:						List[Any]="</s>"   ,   lowerCamelCase_						:						Union[str, Any]="<s>"   ,   lowerCamelCase_						:						List[Any]="<unk>"   ,   lowerCamelCase_						:						Tuple="<pad>"   ,   lowerCamelCase_						:						List[Any]="<mask>"   ,   **lowerCamelCase_						:						int   ,   ):





    """simple docstring"""


    UpperCamelCase			  =      AddedToken(lowerCamelCase_   ,   lstrip=lowerCamelCase_   ,   rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_   ,   lowerCamelCase_				) else mask_token

    super().__init__(
        lowerCamelCase_   ,   tokenizer_file=lowerCamelCase_   ,   bos_token=lowerCamelCase_   ,   eos_token=lowerCamelCase_   ,   unk_token=lowerCamelCase_   ,   sep_token=lowerCamelCase_   ,   cls_token=lowerCamelCase_   ,   pad_token=lowerCamelCase_   ,   mask_token=lowerCamelCase_   ,   **lowerCamelCase_   ,   )

    UpperCamelCase			  =      vocab_file
    UpperCamelCase			  =      False if not self.vocab_file else True







   def 						lowerCamelCase_	(     self						:						List[str]   ,   lowerCamelCase_						:						List[int]   ,   lowerCamelCase_						:						Optional[List[int]] = None				):





    """simple docstring"""


    if token_ids_a is None:
     return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
    UpperCamelCase			  =      [self.cls_token_id]
    UpperCamelCase			  =      [self.sep_token_id]
    return cls + token_ids_a + sep + sep + token_ids_a + sep







   def 						lowerCamelCase_	(     self						:						Tuple   ,   lowerCamelCase_						:						List[int]   ,   lowerCamelCase_						:						Optional[List[int]] = None				):





    """simple docstring"""


    UpperCamelCase			  =      [self.sep_token_id]
    UpperCamelCase			  =      [self.cls_token_id]

    if token_ids_a is None:
     return len(cls + token_ids_a + sep				) * [0]
    return len(cls + token_ids_a + sep + sep + token_ids_a + sep				) * [0]







   def 						lowerCamelCase_	(     self						:						Optional[Any]   ,   lowerCamelCase_						:						str   ,   lowerCamelCase_						:						Optional[str] = None				):





    """simple docstring"""


    if not self.can_save_slow_tokenizer:
     raise ValueError(
         """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
         """tokenizer."""				)

    if not os.path.isdir(lowerCamelCase_				):
     logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
     return
    UpperCamelCase			  =      os.path.join(
        lowerCamelCase_   ,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)

    if os.path.abspath(self.vocab_file				) != os.path.abspath(lowerCamelCase_				):
     copyfile(self.vocab_file   ,   lowerCamelCase_				)

    return (out_vocab_file,)

from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE 		=      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE 		=      {
    """sail/poolformer_s12""": """https://huggingface.co/sail/poolformer_s12/resolve/main/config.json""",
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}
class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):
   __lowerCAmelCase           =				"""poolformer"""







   def __init__(     self						:						str   ,   lowerCamelCase_						:						Any=3   ,   lowerCamelCase_						:						Any=16   ,   lowerCamelCase_						:						Any=16   ,   lowerCamelCase_						:						Optional[Any]=3   ,   lowerCamelCase_						:						List[str]=4.0   ,   lowerCamelCase_						:						Tuple=[2, 2, 6, 2]   ,   lowerCamelCase_						:						Optional[Any]=[64, 128, 320, 512]   ,   lowerCamelCase_						:						Tuple=[7, 3, 3, 3]   ,   lowerCamelCase_						:						Optional[Any]=[4, 2, 2, 2]   ,   lowerCamelCase_						:						Dict=[2, 1, 1, 1]   ,   lowerCamelCase_						:						Tuple=4   ,   lowerCamelCase_						:						Optional[int]=0.0   ,   lowerCamelCase_						:						Union[str, Any]="gelu"   ,   lowerCamelCase_						:						Union[str, Any]=True   ,   lowerCamelCase_						:						Union[str, Any]=1E-5   ,   lowerCamelCase_						:						int=0.0_2   ,   **lowerCamelCase_						:						str   ,   ):





    """simple docstring"""


    UpperCamelCase			  =      num_channels
    UpperCamelCase			  =      patch_size
    UpperCamelCase			  =      stride
    UpperCamelCase			  =      padding
    UpperCamelCase			  =      pool_size
    UpperCamelCase			  =      hidden_sizes
    UpperCamelCase			  =      mlp_ratio
    UpperCamelCase			  =      depths
    UpperCamelCase			  =      patch_sizes
    UpperCamelCase			  =      strides
    UpperCamelCase			  =      num_encoder_blocks
    UpperCamelCase			  =      drop_path_rate
    UpperCamelCase			  =      hidden_act
    UpperCamelCase			  =      use_layer_scale
    UpperCamelCase			  =      layer_scale_init_value
    UpperCamelCase			  =      initializer_range
    super().__init__(**lowerCamelCase_				)





class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):
   __lowerCAmelCase           =				version.parse("""1.11"""		)







   @property
   def 						lowerCamelCase_	(     self						:						Any				):





    """simple docstring"""


    return OrderedDict(
        [
            ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
        ]				)







   @property
   def 						lowerCamelCase_	(     self						:						Any				):





    """simple docstring"""


    return 2E-3
